code: def make_openai_completion(question):
      try:
          start_time = time.time()
          import requests
  
          data = {
              "model": "gpt-3.5-turbo",
              "messages": [
                  {
                      "role": "system",
                      "content": f"You are a helpful assistant. Answer this question{question}",
                  },
              ],
          }
          response = requests.post(
              "http://0.0.0.0:8000/queue/request", json=data
          )
          response = response.json()
          end_time = time.time()
          # Log the request details
          with open("request_log.txt", "a") as log_file:
              log_file.write(
                  f"Question: {question[:100]}\nResponse ID: {response.get('id', 'N/A')} Url: {response.get('url', 'N/A')}\nTime: {end_time - start_time:.2f} seconds\n\n"
              )
  
          # polling the url
          while True:
              try:
                  url = response["url"]
                  polling_url = f"http://0.0.0.0:8000{url}"
                  polling_response = requests.get(polling_url)
                  polling_response = polling_response.json()
                  print(
                      "\n RESPONSE FROM POLLING JoB", polling_response
                  )
                  status = polling_response["status"]
                  if status == "finished":
                      llm_response = polling_response["result"]
                      with open("response_log.txt", "a") as log_file:
                          log_file.write(
                              f"Response ID: {llm_response.get('id', 'NA')}\nLLM Response: {llm_response}\nTime: {end_time - start_time:.2f} seconds\n\n"
                          )
  
                      break
                  print(
                      f"POLLING JOB{polling_url}\nSTATUS: {status}, \n Response {polling_response}"
                  )
                  time.sleep(0.5)
              except Exception as e:
                  print("got exception in polling", e)
                  break
  
          return response
      except Exception as e:
          # Log exceptions for failed calls
          with open("error_log.txt", "a") as error_log_file:
              error_log_file.write(
                  f"Question: {question[:100]}\nException: {str(e)}\n\n"
              )
          return None
  
file_path: litellm/cookbook/litellm_router/load_test_queuing.py
imports: import sys, os
  import traceback
  from dotenv import load_dotenv
  import os, io
  import pytest
  from litellm import Router
  import litellm
  import concurrent.futures
  import random
  import time
label_desc: Use image node_id 1 for calling a global function with example usage: make_openai_completion(question) and returns: response, None